Alexander G. Ororbia II

Alexander G. Ororbia II
Assistant Professor
PhD, Information & Science Technology (The Pennsylvania State University), Minor in Social Data Analytics
B.S.E., Computer Science & Engineering (Bucknell University, U.S.A.), Minors in Mathematics & Philosophy
Director, Neural Adaptive Computing (NAC) Laboratory
Department of Computer Science
Rochester Institute of Technology (NY, USA)

Office: Golisano Hall Rm. 3537
Email: agovcs AT rit DOT edu (Teaching/Advising), ago AT cs DOT rit DOT edu

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Talks and Materials

Below are links and slides for talks that I have given related to the NAC Lab's research in brain-motivated computaton and learning, active inference, and continual learning:

Invited Podcast Talk: "Neural Coding, Predictive Processing, and Cognitive Modeling" (with some mortal computation) to the Active Inference Institute.
This was a podcast series held over a few weeks; here is Part 1, Part 2, and Part 3
Invited Talk: "Self-Supervised Learning for Spiking Neural Networks: Predictive Coding and Forward-Only Learning" (to Intel INRC 2023)
- Slides
Invited Talk: "Brain-Motivated Computation: A Journey from Neural Circuitry to Cognitive Control Systems" (to Dr. Jun Tani and the Cognitive Neurorobotics Research Unit at the Okinawa Institute of Science and Technology, 2023)
- Video Link, Slides, Original Advertisement
Invited Talk: "Temporal Predictive Coding and Mortal Computation" (delivered in-person at the University College London to Dr. Karl Friston and the Theoretical Neurobiology, or TNB, research team, 2023)
- Video Link, Slides
Invited Talk: "Brain-Motivated Computing: From Circuits to Cognitive Systems" (to Dr. Karl Friston and the Theoretical Neurobiology, or TNB, research team as part of their virtual, international speaker seminar series, 2023)
- Video Link, Slides
Invited Talk: "Brain-Inspired Computing: Going Beyond Backpropagation of Errors" (to The OpenCog Foundation/SingularityNET talk series, 2022)
- Video Link, Slides
Invited Talk: "A Predictive Processing Implementation of the Common Model of Cognition" (to Vector Symbolic Architecture Online Lecture Series, 2021)
- Video Link, Slides
Invited Talk: "Neurobiologically-Inspired Lifelong Machine Learning with Neural Generative Coding" (Colloquium Speaker Series, Department of Cognitive Science, Rensselaer Polytechnic Institute, 2021)
- Video Link, Slides
Invited Talk: "Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations" (to ContinualAI, 2020)
- Video Link, Slides
Invited Talk: "Neurobiologically-Motivated Lifelong Machine Learning" (to Salesforce Research, 2019)
- Slides
Conference Talk: "Like a Baby: Visually Situated Neural Language Acquisition" (ACL Paper Presentation, 2019)
- Video Link, Slides
Conference Talk: "Biologically-Motivated Algorithms for Propagating Local Target Representations" (AAAI Paper Presentation, 2019)
- Slides